self service data

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Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Zendesk     Published Date: Jun 29, 2018
Customers are more technically savvy than ever and have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers only seek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only 16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: SAS     Published Date: Jun 20, 2018
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SAS
Published By: SAS     Published Date: Jun 08, 2018
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SAS
Published By: IBM     Published Date: Jun 04, 2018
"Todayís business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data. Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results. Watch this webinar to learn how to use IBM Cognos Analytics to: ∑ Create the important elements of a good story ∑ Put the data in context ∑ Select the best type of ch
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data analytics, data storytelling, business intelligence
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didnít have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesnít stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Donít miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: NetApp     Published Date: May 29, 2018
The analytics and BI platform market's multiyear shift of focus from IT-led reporting to business-led self-service analytics is now mainstream. Data and analytics leaders should invest in modern platforms for greater accessibility, agility and analytical insight from a diverse range of data sources.
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NetApp
Published By: Zendesk     Published Date: May 21, 2018
Customers are more technically savvy than everand have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers onlyseek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: LogMeIn     Published Date: Feb 27, 2018
24/7 Self-Service Support Center: Bold360 aiís 24/7 context driven support center was implemented, allowing users to instantly discover relevant content from the smart knowledge database. Dynamic FAQs displayed trending topics in real-time to speed up customer resolution and discoverability. Real-Time Customer Analytics highlight unanswered questions, giving Premium Credit instant visibility of missing topics, questions driving ticket volume, and more.
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customer, support, faq, credit
    
LogMeIn
Published By: Workday     Published Date: Feb 20, 2018
How can you put the power of real-time analytics into the hands of business users? Watch this video to learn about the technologies surrounding self-service analytics and data integration, and how you can use them to lead a data-driven organization.
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Workday
Published By: Zendesk     Published Date: Jan 19, 2018
Customers are more technically savvy than ever and have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers only seek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only 16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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customer support software, customer service tool, customer relationship, multichannel support tool, customer support vendor evaluation, knowledge base management, help desk software, help desk portal, help center, ticketing system, support ticketing, customer support agent
    
Zendesk
Published By: VMWare EMEA     Published Date: Oct 23, 2017
Organizations that automate their highly-virtualized infrastructure environments discover that they are able to introduce new forms of self-service and on-demand IT delivery models. As a result, theyíre far better positioned to compete in a world where the quality and performance of applications increasingly dictates success and failure. On the journey to agility, the ultimate destination remains infrastructure defined by software and operating in a way thatís both application-aware and self-healing. For enterprises competing in the digital economy, deploying a CMP to manage increasingly complex infrastructure has become an indispensable part of that journey. Learn more about vRealize Suite and our strategy for the Software-Defined Data Center.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
VMWare EMEA
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay. Join guest speaker, Forrester Research VP and Principal Analyst, Boris Evelson and Oracle Analytics Senior Group Director, Jose Villacis as they discuss insights from an Oracle-commissioned study of North American enterprise analytics leaders.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.
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Oracle Analytics
Published By: CA Technologies     Published Date: Sep 13, 2017
"There's new legislation in place, that's expanded the definition of personal data and puts IT and testing departments on high alert to safeguard personal data, across testing and development environments. It's the General Data Protection Regulation (GDPR). Are you ready for it? In this session, weíll demonstrate how CA Test Data Manager helps to both mask your production data and to generate synthetic test data; a powerful combination to help you meet compliance needs and deliver quality applications. There will be a short section on the future of the tester self-service model that will enable testers to efficiently get access to the right test data."
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CA Technologies
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download now and learn why your peers at Experian, EMC Corporation, Cardinal Health, and many other organizations are using Alteryx Server to deploy and share analytics at scale.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this IDC InfoBrief to get the full details of the survey, and understand the impact that advanced spreadsheet usage is having on the data preparation and analytic processes throughout organizations.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how organizations like Southwest Airlines are using self-service data analytics to make faster, more accurate decisions.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organization requires.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organisation requires.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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Alteryx, Inc.
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